{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-07-31T07:42:37.087595Z","iopub.execute_input":"2022-07-31T07:42:37.088106Z","iopub.status.idle":"2022-07-31T07:42:37.104891Z","shell.execute_reply.started":"2022-07-31T07:42:37.088006Z","shell.execute_reply":"2022-07-31T07:42:37.103598Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.linear_model import LinearRegression, Ridge\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom category_encoders import OneHotEncoder\n","metadata":{"execution":{"iopub.status.busy":"2022-07-31T07:42:37.235809Z","iopub.execute_input":"2022-07-31T07:42:37.236951Z","iopub.status.idle":"2022-07-31T07:42:37.839189Z","shell.execute_reply.started":"2022-07-31T07:42:37.236907Z","shell.execute_reply":"2022-07-31T07:42:37.837692Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_sample = pd.read_csv(\"../input/house-prices-advanced-regression-techniques/sample_submission.csv\")\ndf_sample.head()","metadata":{"execution":{"iopub.status.busy":"2022-07-31T07:42:37.841210Z","iopub.execute_input":"2022-07-31T07:42:37.841581Z","iopub.status.idle":"2022-07-31T07:42:37.862478Z","shell.execute_reply.started":"2022-07-31T07:42:37.841549Z","shell.execute_reply":"2022-07-31T07:42:37.861200Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df = pd.read_csv(\"../input/house-prices-advanced-regression-techniques/train.csv\")","metadata":{"execution":{"iopub.status.busy":"2022-07-31T07:42:37.863861Z","iopub.execute_input":"2022-07-31T07:42:37.864343Z","iopub.status.idle":"2022-07-31T07:42:37.898348Z","shell.execute_reply.started":"2022-07-31T07:42:37.864309Z","shell.execute_reply":"2022-07-31T07:42:37.896783Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(df.head())\ndf.info()","metadata":{"execution":{"iopub.status.busy":"2022-07-31T07:42:37.901210Z","iopub.execute_input":"2022-07-31T07:42:37.902523Z","iopub.status.idle":"2022-07-31T07:42:37.940965Z","shell.execute_reply.started":"2022-07-31T07:42:37.902479Z","shell.execute_reply":"2022-07-31T07:42:37.939202Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df.drop(columns=[\"Alley\", \"FireplaceQu\", \"PoolQC\", \"Fence\", \"MiscFeature\"], inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-07-31T07:47:04.274133Z","iopub.execute_input":"2022-07-31T07:47:04.274564Z","iopub.status.idle":"2022-07-31T07:47:04.282082Z","shell.execute_reply.started":"2022-07-31T07:47:04.274529Z","shell.execute_reply":"2022-07-31T07:47:04.281035Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2022-07-31T07:47:17.866897Z","iopub.execute_input":"2022-07-31T07:47:17.867410Z","iopub.status.idle":"2022-07-31T07:47:17.892823Z","shell.execute_reply.started":"2022-07-31T07:47:17.867360Z","shell.execute_reply":"2022-07-31T07:47:17.890644Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}